Background: Texture analysis derived from computed tomography (CT) may provide clinically relevant imaging biomarkers associated with tumor histopathology. Perihilar cholangiocarcinoma is a malignant disease with an overall poor prognosis.
Aims: The present study sought to elucidate possible associations between texture features derived from CT images with grading, tumor markers, and survival in extrahepatic, perihilar cholangiocarcinomas tumors.
Methods: This retrospective study included 22 patients (10 females, 45%) with a mean age of 71.8 ± 8.7 years. Texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. Survival and clinical parameters were used as primary study outcomes.
Results: In discrimination analysis, "S(1,1)SumVarnc" was statistically significantly different between patients with long-term survival and nonlong-term survival (mean 275.8 ± 32.6 vs. 239.7 ± 26.0, p = 0.01). The first-order parameter "skewness" was associated with the tumor marker "carcinoembryonic antigen" (CEA) (r = -0.7, p = 0.01). A statistically significant correlation of the texture parameter "S(5,0)SumVarnc" with tumor grading was identified (r = -0.6, p < 0.01). Several other texture features correlated with tumor markers CA-19-9 and AFP, as well as with T and N stage of tumors.
Conclusion: Several texture features derived from CT images were associated with tumor characteristics and survival in patients with perihilar cholangiocarcinomas. CT texture features could be used as valuable novel imaging markers in clinical routine.
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http://dx.doi.org/10.1002/cnr2.2132 | DOI Listing |
Food Chem
December 2024
SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China. Electronic address:
The present study was performed to investigate the digestive profiles of snakeheads' belly muscles (BM), tail muscles (TM) dorsal muscles (DM), and eye muscles (EM), with further explorations of relevant factors. Kinetic models were adopted to describe the digestion process with crucial parameters. BM showed the highest digestibility and digestive rate, followed by DM, TM, and EM.
View Article and Find Full Text PDFFood Chem
December 2024
Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, PR China; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, PR China; Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, PR China; Collaborative Innovative Center for Lactic Acid Bacteria and Fermented Dairy Products, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, PR China. Electronic address:
Cheese-associated microbiota and their interactions are crucial in determining the properties of cheese. This study aimed to compare the effects of different starter cultures on Cheddar cheese production using texture analysis, electronic sensory evaluation, and both volatile and non-volatile metabolomics. Specifically, we examined Lactococcus lactis BL19 and Lactococcus cremoris LC99, both individually and in combination.
View Article and Find Full Text PDFJ Food Sci
December 2024
Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Microstructural properties of wheat-based food materials change during baking. These alterations affect the final product's mechanical properties, physical attributes, and consumer satisfaction. Image processing and pore network modeling were used to analyze the variations in a cookie's microstructural properties during baking.
View Article and Find Full Text PDFJ Bone Miner Res
December 2024
Division of Endocrinology/Metabolic Bone Disease Service, Hospital for Special Surgery, New York, NY.
Opportunistic screening is essential to improve the identification of individuals with osteoporosis. Our group has utilized image texture features to assess bone quality using clinical MRIs. We have previously demonstrated that greater heterogeneity of MRI texture related to history of fragility fractures, lower bone density, and worse microarchitecture.
View Article and Find Full Text PDFSci Rep
December 2024
The National Institute of Horticultural Research, ul. Pomologiczna 18, 96-100, Skierniewice, Poland.
The aim of this research is to create an automated system for identifying soil microorganisms at the genera level based on raw microscopic images of monocultural colonies grown in laboratory environment. The examined genera are: Fusarium, Trichoderma, Verticillium, Purpureolicillium and Phytophthora. The proposed pipeline deals with unprocessed microscopic images, avoiding additional sample marking or coloration.
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